Kerr, Y. H., Waldteufel, P., Richaume, P., Wigneron, J. P., Ferrazzoli, P., Mahmoodi, A., Al Bitar,
A., et al. (2012). The SMOS soil moisture retrieval algorithm. IEEE Transactions on Geoscience and Remote Sensing, 50(5), 1384–1403. https://doi.org/10.1109/TGRS.2012.2184548.
Kogan, F. (1995). Application of vegetation index and brightness temperature for drought detection. Advances in Space Research, 15(11), 91–100. https://doi.org/10.1016/0273-1177(95)
00079-T.
Kogan, F. (1997). Global drought watch from space. Bulletin of the American Meteorological
Society, 78(4), 621–636. https://doi.org/10.1175/1520-0477(1997)0782.0.CO;2.
Maggioni, V., & Houser, P. R. (2017). Soil moisture data assimilation. In S. K. Park & L. Xu (Eds.),
Data assimilation for atmospheric, oceanic and hydrologic applications (Vol. III)
(pp. 195–217). Springer. https://doi.org/10.1007/978-3-319-43415-5_9.
Monteith, J. L. (1965). Evaporation and environment. In Proceedings of 19th Symposium of the
Society for Experimental Biology (Vol. 19, pp. 205–233). New York: Cambridge University
Press. http://www.ncbi.nlm.nih.gov/pubmed/5321565.
Moran, M. S., Clarke, T. R., Inoue, Y., & Vidal, A. (1994). Estimating crop water deficit using the
relation between surface-air temperature and spectral vegetation index. Remote Sensing of
Environment, 49(3), 246–263. https://doi.org/10.1016/0034-4257(94)90020-5.
Mu, Q., Heinsch, F. A., Zhao, M., & Running, S. W. (2007). Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment, 111(4), 519–536. https://doi.org/10.1016/j.rse.2007.04.015.
Nielsen-Gammon, J. W. (2012). The 2011 Texas drought. Texas Water Journal, 3(1), 59–95.
NOAA-National Climatic Data Center. (2012). 3-month percent of normal precipitation. National
Temperature and Precipitation Maps. https://www.ncdc.noaa.gov/monitoring-content/sotc/
national/grid-prcp/prcp-pon-201206-201208.gif
Norman, J. M., Anderson, M. C., Kustas, W. P., French, A. N., Mecikalski, J., Torn, R., Diak, G. R.,
Schmugge, T. J., & Tanner, B. C. W. (2003). Remote sensing of surface energy fluxes at 10-M
pixel resolutions. Water Resources Research, 39(8), 1221. https://doi.org/10.1029/
2002WR001775.
Parinussa, R. M., Tugrul Yilmaz, M., Anderson, M. C., Hain, C. R., & de Jeu, R. A. M. (2014). An
intercomparison of remotely sensed soil moisture products at various spatial scales over the
Iberian Peninsula. Hydrological Processes, 28(18), 4865–4876. https://doi.org/10.1002/hyp.
9975.
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007). Updated world map of the Köppen-Geiger
climate classification. Hydrology and Earth System Sciences, 11(5), 1633–1644. https://doi.org/
10.5194/hess-11-1633-2007.
Priestley, C. H. B., & Taylor, R. J. (1972). On the assessment of surface heat flux and evaporation
using large-scale parameters. Monthly Weather Review, 100(2), 81–92. https://doi.org/10.1175/
1520-0493(1972)100<0081:OTAOSH>2.3.CO;2.
Rippey, B. R. (2015). The U.S. drought of 2012. Weather and Climate Extremes, USDA Research
and Programs on Extreme Events, 10(Part A (December)), 57–64. https://doi.org/10.1016/j.
wace.2015.10.004.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K.,
et al. (2004). The global land data assimilation system. Bulletin of the American Meteorological
Society, 85(3), 381–394. https://doi.org/10.1175/BAMS-85-3-381.
The National Drought Mitigation Center. (2016). U.S. Drought Monitor Classification Scheme.
United States Drought Monitor. http://droughtmonitor.unl.edu/AboutUs/ClassificationScheme.
aspx
The National Drought Mitigation Center. (2017). Percent Area in U.S. drought monitor categories.
United States Drought Monitor. http://droughtmonitor.unl.edu/MapsAndData/DataTables.aspx
Thornton, P. E., Thornton, M. M., Mayer, B. W., Wilhelmi, N., Wei, Y., Devarakonda, R., & Cook,
R. B. (2014). Daymet: Daily surface weather data on a 1-km grid for North America, version 2.
Oak Ridge: Oak Ridge National Laboratory Distributed Active Archive Center. https://doi.org/
10.3334/ORNLDAAC/1219.
15 Mapping and Monitoring of Soil Moisture, Evapotranspiration, and Agricultural. . .
319
A., et al. (2012). The SMOS soil moisture retrieval algorithm. IEEE Transactions on Geoscience and Remote Sensing, 50(5), 1384–1403. https://doi.org/10.1109/TGRS.2012.2184548.
Kogan, F. (1995). Application of vegetation index and brightness temperature for drought detection. Advances in Space Research, 15(11), 91–100. https://doi.org/10.1016/0273-1177(95)
00079-T.
Kogan, F. (1997). Global drought watch from space. Bulletin of the American Meteorological
Society, 78(4), 621–636. https://doi.org/10.1175/1520-0477(1997)0782.0.CO;2.
Maggioni, V., & Houser, P. R. (2017). Soil moisture data assimilation. In S. K. Park & L. Xu (Eds.),
Data assimilation for atmospheric, oceanic and hydrologic applications (Vol. III)
(pp. 195–217). Springer. https://doi.org/10.1007/978-3-319-43415-5_9.
Monteith, J. L. (1965). Evaporation and environment. In Proceedings of 19th Symposium of the
Society for Experimental Biology (Vol. 19, pp. 205–233). New York: Cambridge University
Press. http://www.ncbi.nlm.nih.gov/pubmed/5321565.
Moran, M. S., Clarke, T. R., Inoue, Y., & Vidal, A. (1994). Estimating crop water deficit using the
relation between surface-air temperature and spectral vegetation index. Remote Sensing of
Environment, 49(3), 246–263. https://doi.org/10.1016/0034-4257(94)90020-5.
Mu, Q., Heinsch, F. A., Zhao, M., & Running, S. W. (2007). Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment, 111(4), 519–536. https://doi.org/10.1016/j.rse.2007.04.015.
Nielsen-Gammon, J. W. (2012). The 2011 Texas drought. Texas Water Journal, 3(1), 59–95.
NOAA-National Climatic Data Center. (2012). 3-month percent of normal precipitation. National
Temperature and Precipitation Maps. https://www.ncdc.noaa.gov/monitoring-content/sotc/
national/grid-prcp/prcp-pon-201206-201208.gif
Norman, J. M., Anderson, M. C., Kustas, W. P., French, A. N., Mecikalski, J., Torn, R., Diak, G. R.,
Schmugge, T. J., & Tanner, B. C. W. (2003). Remote sensing of surface energy fluxes at 10-M
pixel resolutions. Water Resources Research, 39(8), 1221. https://doi.org/10.1029/
2002WR001775.
Parinussa, R. M., Tugrul Yilmaz, M., Anderson, M. C., Hain, C. R., & de Jeu, R. A. M. (2014). An
intercomparison of remotely sensed soil moisture products at various spatial scales over the
Iberian Peninsula. Hydrological Processes, 28(18), 4865–4876. https://doi.org/10.1002/hyp.
9975.
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007). Updated world map of the Köppen-Geiger
climate classification. Hydrology and Earth System Sciences, 11(5), 1633–1644. https://doi.org/
10.5194/hess-11-1633-2007.
Priestley, C. H. B., & Taylor, R. J. (1972). On the assessment of surface heat flux and evaporation
using large-scale parameters. Monthly Weather Review, 100(2), 81–92. https://doi.org/10.1175/
1520-0493(1972)100<0081:OTAOSH>2.3.CO;2.
Rippey, B. R. (2015). The U.S. drought of 2012. Weather and Climate Extremes, USDA Research
and Programs on Extreme Events, 10(Part A (December)), 57–64. https://doi.org/10.1016/j.
wace.2015.10.004.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K.,
et al. (2004). The global land data assimilation system. Bulletin of the American Meteorological
Society, 85(3), 381–394. https://doi.org/10.1175/BAMS-85-3-381.
The National Drought Mitigation Center. (2016). U.S. Drought Monitor Classification Scheme.
United States Drought Monitor. http://droughtmonitor.unl.edu/AboutUs/ClassificationScheme.
aspx
The National Drought Mitigation Center. (2017). Percent Area in U.S. drought monitor categories.
United States Drought Monitor. http://droughtmonitor.unl.edu/MapsAndData/DataTables.aspx
Thornton, P. E., Thornton, M. M., Mayer, B. W., Wilhelmi, N., Wei, Y., Devarakonda, R., & Cook,
R. B. (2014). Daymet: Daily surface weather data on a 1-km grid for North America, version 2.
Oak Ridge: Oak Ridge National Laboratory Distributed Active Archive Center. https://doi.org/
10.3334/ORNLDAAC/1219.
15 Mapping and Monitoring of Soil Moisture, Evapotranspiration, and Agricultural. . .
319